Computer Vision Engineer

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

Azure Chatbot Developer

Location :Bangalore / Mumbai / Pune

Job Description

Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle

f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.

g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET

i) Knowledge of Python and NodeJS is a plus

j) Ability to design and optimize SQL Server 2008 stored procedures.

k) Experience with JQuery, CSS3, HTML5 or similar technologies.

l) Ability to adapt quickly to an existing, complex environment.

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP